ipa-lab / hackingBuddyGPT

What it does

• Two execution styles on one shared loop. native tool-calling agents (real chat history + function calling) and simple-text command strategies (Mako template → single parsed command).
• Unified run limits. cap any run by rounds, tokens, cost (in dollars) *and* wall-clock duration (--limits.max_rounds/max_tokens/max_cost/max_duration).
• One LLM upstream. litellm. Any provider is reachable through the llm.model string — OpenAI, OpenRouter (the default endpoint), Anthropic, Azure, a local Ollama, and more. Route API traffic through an intercepting proxy (Burp/mitmproxy) with
• Structured, self-contained logging. every run is written as an append-only OpenTelemetry/GenAI JSONL trace, with CLI tools to replay and aggregate runs.
• Fully asynchronous execution model built on asyncio.